How to avoid AI technology debt

Holistic OxAi approach by considering the entire life cycle.

Holistic system designDeveloped comprehensively.

An AI environment must be developed comprehensively and seamlessly integrated into the company's existing overall architecture and business processes.

TraceabilityDocumented and trackable.

Any AI decisions, used datasets, and model versions must be fully documented, trackable, and explainable.

Tools & MissionOptimal stack selection.

A clear definition of the AI's goal (mission) and the selection of the optimal technological tools (tech stack, frameworks) to achieve it.

Retrieval engineeringReliable knowledge access.

Designing and optimizing the mechanisms by which the AI accesses internal and external, up-to-date knowledge in a reliable and controlled way.

                            cF's Strategic Framework
                            CORE METHODOLOGY
                        
The central engine driving cognitive strategy and factual execution.

Roles and governanceAI specialist teams.

Establish a team of AI and non-AI specialists to build and maintain AI environments in the same way you would setup a backend system.

SecurityProtection against attacks.

Protecting the models, infrastructure, and data against attacks (e.g., prompt injections) and unauthorized access. Imagine what would happen if hackers change the prompts in your scripts.

Exception handlingSafe reaction to edge cases.

Defining clear processes for how the system safely and controllably reacts to unexpected inputs, edge cases, or system failures. Agents are constantly calling other elements so there will be errors and loops to be handled.

Testing & DeploymentSecure rollout processes.

Establishing robust testing procedures and secure, continuous rollout processes into the production environment. Consider also the interfaces to the legacy environment.